Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming ICLR 2025 Applying the Character-Role Narrative Framework with LLMs to Investigate Environmental Narratives in Scientific Editorials and Tweets ACL 2025 Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment AAAI 2025 Approximate information maximization for bandit games AISTATS 2025 Approximate State Abstraction for Markov Games AAAI 2025 Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret L4DC 2025 A Practical Analysis of Human Alignment with *PO NAACL 2025 A Practical Approach to Causal Inference over Time AAAI 2025 A Practical Tool to Help Automate Interlinear Glossing: a Study on Mukrī Kurdish ACL 2025 A Preliminary Study on NLP-Based Personalized Support for Type 1 Diabetes Management NAACL 2025 A primer on linear classification with missing data AISTATS 2025 A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 2025 APR-RD: Complemental Two Steps for Self-Supervised Real Image Denoising AAAI 2025 APT: Adaptive Personalized Training for Diffusion Models with Limited Data CVPR 2025 APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training ACL 2025 AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs EMNLP 2025 ArabEmoNet: A Lightweight Hybrid 2D CNN-BiLSTM Model with Attention for Robust Arabic Speech Emotion Recognition EMNLP 2025 ArabicSense: A Benchmark for Evaluating Commonsense Reasoning in Arabic with Large Language Models COLING 2025 ArabicWeb-Edu: Educational Quality Data for Arabic LLM Training EMNLP 2025 AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models EMNLP 2025 A Rapid Test for Accuracy and Bias of Face Recognition Technology WACV 2025 AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP EMNLP 2025 AraSafe: Benchmarking Safety in Arabic LLMs EMNLP 2025 AraSim: Optimizing Arabic Dialect Translation in Children’s Literature with LLMs and Similarity Scores COLING 2025 Arbiters of Ambivalence: Challenges of using LLMs in No-Consensus tasks ACL 2025